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Brand Measurement: Analytics & Metrics for Branding Campaigns

Occam's Razor

Remember: Engagement is not a metric, its an excuse. ]. The ideal metrics for this desired outcome are Visitor Loyalty & Visitor Recency. You can compute two important metrics: Likelihood to Recommend / Brand Lift. There are a number of wonderful metrics you can use to measure online success of such marketing campaigns.

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These Are Data’s Dark Ages, and That Needs to Change

Alation

Metrics and statistics are wonderful, but we need to surround data with more context and lower the costs of using data. For those of us who champion the power of data, the past five years have been an incredible ride thanks to the rise of big data.

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Reclaiming the stories that algorithms tell

O'Reilly on Data

So the state calculates and publishes a “Risk Adjusted Mortality Ratio”—a comparison between the actual number of observed deaths and the number that would be statistically expected, on average, for patients medically similar to those each doctor actually operated on.

Risk 355
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Data Observability and Monitoring with DataOps

DataKitchen

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Since 2008, teams working for our founding team and our customers have delivered 100s of millions of data sets, dashboards, and models with almost no errors. Statistical Process Control.

Testing 214
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Data Science, Past & Future

Domino Data Lab

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Tukey did this paper. It’s a great read. It is 50, almost 60 years ago, but he was talking about something that was interdisciplinary.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

Although it’s not perfect, [Note: These are statistical approximations, of course!] We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models. Example 11.6 Example 11.9

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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

in 2008 and continuing with Java 8 in 2014, programming languages have added higher-order functions (lambdas) and other “functional” features. Healthy growth in artificial intelligence has continued: machine learning is up 14%, while AI is up 64%; data science is up 16%, and statistics is up 47%. Starting with Python 3.0